02150nas a2200325   4500000000100000000000100001008004100002260001200043653002400055653002200079653003000101653001700131653002100148653001900169653001800188100001700206700002000223700001500243700001800258700001500276700001700291700001800308700001700326245006500343856007900408300001000487490000600497520130700503022001401810       2021                            d  c09/202110aAlzheimer's Disease10aLiterature Review10aMild Cognitive Impairment10aNeuroimaging10aMachine Learning10aClassification10aDeep Learning1 aSitara Afzal1 aMuazzam Maqsood1 aUmair Khan1 aIrfan Mehmood1 aHina Nawaz1 aFarhan Aadil1 aOh-Young Song1 aYunyoung Nam00aAlzheimer Disease Detection Techniques and Methods: A Review  uhttps://www.ijimai.org/journal/sites/default/files/2021-08/ijimai6_7_3.pdf  a26-380 v63 aBrain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help of classification frameworks which are offering tools for diagnosis and prognosis. Here is the review study of Alzheimer's disease based on Neuroimaging and cognitive impairment classification. This work is a systematic review for the published work in the field of AD especially the computer-aided diagnosis. The imaging modalities include 1) Magnetic resonance imaging (MRI) 2) Functional MRI (fMRI) 3) Diffusion tensor imaging 4) Positron emission tomography (PET) and 5) amyloid-PET. The study revealed that the classification criterion based on the features shows promising results to diagnose the disease and helps in clinical progression. The most widely used machine learning classifiers for AD diagnosis include Support Vector Machine, Bayesian Classifiers, Linear Discriminant Analysis, and K-Nearest Neighbor along with Deep learning. The study revealed that the deep learning techniques and support vector machine give higher accuracies in the identification of Alzheimer’s disease. The possible challenges along with future directions are also discussed in the paper.  a1989-1660